Data-driven decision making in academic libraries: A review of developments and future prospects

Department/Unit

Libraries

Document Type

Article

Source Title

International Journal of Research in Library Science

Volume

9

Issue

3

First Page

1

Last Page

12

Publication Date

7-10-2023

Abstract

Computer data has been used for many years to support data-driven decision-making. The current study focuses on the fundamental principles of data-driven decision-making in education and learning and how it can potentially transform libraries in the future. The study was conducted in five phases using the scoping review. The decision- making process and early developments, role in educational administration, application in libraries, methods and techniques for data-driven decision-making, most recent advancements, and post-COVID-19 developments in decision-making are all included for discussion based on the data.

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Disciplines

Library and Information Science

Keywords

Academic libraries—Decision making; Data sets

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